Choosing the right APM tool is critical. How do you know which is the right one for you? Here are the top 13 open source application performance monitoring(APM) tools which can solve your monitoring needs. Open source APM tools have added benefits over their SaaS counterparts. Open source tools are more transparent as you can verify its source code, and you can use it without going through the pains of taking approvals usually required for using a third-party vendor tool.

Maintaining transparent communication about service availability is crucial for businesses of all sizes. Status pages are an important part of your communication strategy during times of outages and maintenance events. You can choose to go with a fully managed status page provider, or host an open-source one yourself. Open source status page providers offer a cost-effective and customizable solution. However, then can come with their own drawbacks.

Effective monitoring is important for maintaining robust and reliable systems. While Prometheus has long been a go-to solution for many organizations, the growing complexity of modern infrastructure has led to an increased demand for prometheus alternatives. This comprehensive guide will explore various monitoring tools that can serve as viable prometheus alternatives, helping you make an informed decision for your specific needs.

In pursuit of open source sustainability, Canonical is a committed contributor to the development of Valkey. Following our mission to amplify the impact of open source and enable a broad diversity of open source communities to collaborate under the Ubuntu umbrella, we’re pleased to announce that Valkey is now included in Ubuntu. Valkey is included in Ubuntu 24.10 (Oracular Oriole) and Ubuntu 24.04 LTS (Noble Nombat) and will be included in future releases.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. For OpenTelemetry visualization, you need to use a backend that can ingest the collected data and provide a web UI to visualize it.

Node.js is one of the most popular frameworks for server-side programming. As it's based on JavaScript, it's easy to learn and widely used by both enterprises and startups. However, Node.js applications can be prone to issues like memory leaks and high CPU loads due to its dynamically typed, single-threaded nature. This makes performance monitoring crucial for Node.js applications.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. APM stands for Application Performance Monitoring or Application Performance Management. APM tools help engineering teams effectively monitor their applications by monitoring key metrics for application performance.

MongoDB has become a cornerstone in modern database architectures. Its flexibility and scalability make it a go-to choice for many organizations. But with great power comes great responsibility—and the need for robust monitoring. There are many monitoring tools out there, and choosing the right one can be confusing. This article lists the top MongoDB monitoring tools, from open-source ones to fully managed SaaS solutions.

AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, companies need edge infrastructure that’s fast, secure and highly scalable.

Prometheus has emerged as the de facto standard for monitoring in cloud-native environments based on several key factors. Prometheus offers a highly scalable time-series database, capable of handling millions of metrics and a pull-based architecture that simplifies network configuration and enhances security. In this blog post, we’ll explore the four primary Prometheus metric types: counter, gauge, histogram, and summary.